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Field
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-time RF machine learning, automotive cybersecurity, and radar threat warning models. Validation of SDD products is accomplished in VTNSI’s state-of-the-art 5,000 sq. ft. of wireless testing and lab
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, materials scientists, biologists, and machine learning researchers, embedded in the broader robotics ecosystem at ETH Zurich Strong ties to industry and to our spin-offs, and support for turning your research
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scales, from the genome to the continent, and sub-daily to evolutionary time scales. One of the goals of the SCINet Initiative is to develop and apply new technologies, including AI and machine learning
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workload intensity, memory access patterns, and GPU utilization for real-time optimization. • Develop and deploy machine learning models to predict optimal voltage–frequency operating points during LLM
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in Machine Learning, Computer Science, Electrical Engineering, Geophysics, Applied Mathematics, or a closely related field. Demonstrated strong research skills, evidenced by high-quality publications
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the speed up from using GPUs as well as machine learning techniques, e.g. simulation-based inference. Finally, we will use similar techniques to make a statistical inference of the population of subhaloes by
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architecture of entirely new foundation models, directly advancing the frontier of computational biology and machine learning. You will also implement parallel systems capable of training such models across
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foundation models, directly advancing the frontier of computational biology and machine learning. You will also implement parallel systems capable of training such models across large GPU clusters on cryoSTEM
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applications. Experience with quantitative image analysis, medical image segmentation, or machine-learning / GPU-based computing. Experience mentoring or directing the work of junior staff, students, or trainees
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to groom the next generation of leaders, thinkers, and innovators to thrive in the digital age. Located in the heart of Asia, NTU’s College of Computing and Data Science is an ‘exciting place to learn and